Symbiosis International University

This study was intended to evaluate the psychosocial impacts of ocular and facial ailments on women and to evaluate the efficiency of various interventions on psychological well-being and quality of life. The researcher conducted the study while adhering to the advocated reporting items for systematic reviews and meta-analysis (PRISMA) guidelines. A total of 24 peer-reviewed articles from reputable databases (PubMed, EMBASE, Web of Science, Cochrane, and Scopus) and published starting January 1, 1990 to 2023 were included. Forest plots were used for data visualization, and fixed- and random-effects models were adopted for meta-analysis. There was observed significant improvement in self-esteem following intervention implementation (pooled effect size of 0.73, p < 0.001), body image (pooled effect size of 0.65, p < 0.001), reduction in anxiety levels post-intervention (pooled effect size of -0.56, p < 0.001), reduction in depression levels (pooled effect size of -0.48, p < 0.001), as well as improvement in overall quality of life (pooled effect size of 0.56, p < 0.001). Where relevant, odds ratios were noted from included studies but not the primary measure for the pooled effects. This study highlights the intricate interplay of individual, interpersonal, and environmental factors in shaping psychosocial outcomes and underscores the need for comprehensive care that addresses the multidimensional needs of affected women.

Ground level ozone is considered a major air pollutant. It is formed when nitrogen oxides and volatile organic compounds react under sunlight. It harms human health and damages plants and materials. It also contributes to climate change. It is a photochemically formed compound that is extremely hazardous to the environment and human health. Proper forecasting of the boundary layer ozone has been a challenge due to the nonlinearly related to both meteorological and chemical conditions and the scarcity of fine-scale vertical ozone patterns. This study uses the OMPROFOZ ozone profile product which is a product of the Ozone Monitoring Instrument (OMI) on the Aura satellite to estimate the ozone concentrations in the boundary layer. A set of deep learning models, i.e., RNN, CNN, GRU, LSTM, and hybrid forms i.e., GRU-CNN and LSTM-CNN, is evaluated to benchmark forecasting accuracy. The first, ConvBiGRU-AttentionNet, integrates attention mechanisms within a convolutional gated recurrent structure. The second, EMD-ConvBiGRU-AttentionNet, adds Empirical Mode Decomposition to extract multi-scale temporal features before modeling. The proposed models outperform conventional methods across metrics such as RMSE, MAE, R², and skill scores. EMD-ConvBiGRU-AttentionNet achieves the highest prediction accuracy. Visual analyses, i.e., residual plots, cumulative error distributions, and attention maps, confirm the capacity of the model to capture spatio-temporal patterns in atmospheric data.

Neisseria meningitidis encounters a dynamic nutrient landscape during host colonization, which necessitates its metabolic adaptation to different host metabolites such as acetate. Acetate, a short chain fatty acid (SCFA) within the host milieu, found to regulate host defense and inflammation during bacterial infection. In macrophage acetate gets converted into acetyl-CoA to provide energy via TCA cycle. Also, acetate is a crucial metabolic intermediate that takes part in lipid biosynthesis and protein acetylation. Acetate acts as an immunomodulator which improves the bactericidal effect of macrophage by activating the inflammasome. Therefore, to persist in nutrient limited conditions encountered in macrophages pathogens should resort to effective utilization of energy sources. We demonstrate that N. meningitidis can potentially utilize host acetate as a carbon source and regulate its virulence. The utilization of acetate enhanced the survival of N. meningitidis in H₂O₂ induced oxidative stress which can be correlated with the macrophage infection assay. Moreover, our investigation into underlying mechanism suggests that acetate exposure upregulates bacterial oxidative stress response by significantly increasing catalase and superoxide dismutase activity. We demonstrated that acetate metabolism also upregulated expression of nitric oxide detoxification genes fnr, narQ which mitigate reactive oxygen and nitrogen species produced in macrophages. Therefore, we conclude that bacterial utilization of physiologically relevant host acetate levels represents an important strategy to consume or detoxify macrophage-mediated oxidative stress, thereby facilitating bacterial survival.